ArticleNutrients2023
High Nutritional Risk Is Associated with Poor Functional Status and Prognostic Biomarkers in Stroke Patients at Admission to a Rehabilitation Unit.
Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Association between geriatric nutritional risk index and stroke prevalence in elderly adults: a cross-sectional analysis of NHANES 1999-2018.BMC geriatrics · 2026Article
- Insights Into Stroke Risk and Prediction for Underweight Individuals.Neurosciences (Riyadh, Saudi Arabia) · 2026Review
- Independent and combined predictive value of nutritional, electrolyte, inflammatory, and insulin resistance indices for post-stroke infection in acute ischemic stroke: a retrospective study.Frontiers in nutrition · 2026Article
- Analysis of nutritional status and functional recovery outcomes in stroke patients under nursing care.Frontiers in nutrition · 2026Article
- Early functional recovery and clinical risk profiles predict distinct trajectories of post-stroke depression: a one-year longitudinal analysis.BMC neurology · 2025Article
- Associations of Naples prognostic score with stroke in adults and all cause mortality among stroke patients.Scientific reports · 2025Article
- Interpretable machine learning-based predictive model for malnutrition in subacute post-stroke patients: an internal and external validation study.Frontiers in nutrition · 2025Article
- Association of a novel nutritional marker, the triglyceride-cholesterol-body weight index, with 90-day unfavorable outcomes in acute ischemic stroke: a prospective cohort study.Frontiers in nutrition · 2025Article
- Nonlinear dose-response relationship between prognostic nutritional index and short-term outcome in acute ischemic stroke: a prospective cohort study.Frontiers in nutrition · 2025Article
- Article
- Association between Blood Parameters of Nutritional Status and Functional Status in Extreme Longevity.Nutrients · 2024Article
- The Validity of Quadriceps Muscle Thickness as a Nutritional Risk Indicator in Patients with Stroke.Nutrients · 2024Article
- Influence of Nutritional Interventions on Functional Outcomes in Stroke Rehabilitation: A Systematic Review.Cureus · 2024Review
- Inflammation and nutritional status in relation to mortality risk from cardio-cerebrovascular events: evidence from NHANES.Frontiers in nutrition · 2024Article
- Correlations between nutritional indicators and cognitive function in patients with stable schizophrenia in a hospital setting.PloS one · 2024Article
- Predictive Value of Nutritional Risk for All-Cause Death and Functional Outcomes in Chinese Elderly Patients with Acute Stroke: A 3-Year Follow-Up Study.Clinical interventions in aging · 2024Article
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Considering that malnutrition (undernutrition) is common in stroke patients and may negatively impact body function, the aim of this study was to determine the relationship between nutritional risk and functional status in stroke patients at admission to a rehabilitation unit. Nutritional risk was assessed using the Geriatric Nutritional Risk Index (GNRI), the Prognostic Nutritional Index (PNI) and the Controlling Nutritional Status (CONUT) score. Functional status was assessed using the Barthel Index, the modified Rankin Scale, the Trunk Control Test and the Sitting Balance Scale, and cognitive function was assessed using the Short Portable Mental Status Questionnaire. C-reactive protein, fibrinogen and D-dimer were also evaluated as established prognostic biomarkers. Stroke patients (n = 245; age 69.7 ± 12.8 years; 47%, women; 82% ischemic stroke) at admission to a rehabilitation unit were included in this study. A high prevalence of nutritional risk was detected with each tool and was found to be greater using the GNRI and in patients aged ≥75 years. Multiple logistic regression analysis showed that age and dysphagia were independent predictors of high nutritional risk. High risk groups performed worse on all functional tests compared to the low-risk groups (
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